Data Scientist

On Point Hr & Talent Solutions; Pretoria; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading HR and talent solutions firm in Pretoria is seeking a Data Scientist with a passion for SAS and data analytics. You will build and deploy statistical models, collaborate with teams, and communicate findings effectively. The ideal candidate has an Honours Degree in a relevant field and expertise in Python and SQL, with strong statistical and analytical skills. This dynamic role offers opportunities for growth in a fast-paced environment.

Qualifications

• Honours Degree or higher in Data Science, Stats, Computer Science, Engineering, or similar.
• Advanced SAS programming skills.
• Skilled in Python, SQL, and familiar with cloud data services.
• Strong stats, modelling, and experiment design knowledge.
• Sharp communication skills.
• Critical thinking and a get-it-done attitude.

Responsibilities

• Build and deploy statistical and machine learning models using SAS.
• Dive deep into data, uncover patterns, and translate analytics into strategies.
• Use SAS Visual Analytics to craft dashboards.
• Own the data pipeline and prepare analysis-ready data.
• Collaborate with business analysts, product managers, and engineers.

Skills

SAS programming

Python

SQL

Data visualization

Statistical analysis

Critical thinking

Communication

Education

Honours Degree or higher in Data Science, Stats, Computer Science, Engineering

Tools

SAS Visual Analytics

Tableau

Power BI

Cloud services (AWS, Azure, GCP)

Job description

Location – Bedfordview
We're looking for a curious, high‑energy Data Scientist whose love for SAS analytics sets them apart. In this hands‑on role, you'll join a team that thrives on making sense of massive datasets, solving chunky business problems, and turning insights into impact.

What you do

• Model Like a Pro: Build and deploy robust statistical and machine learning models using SAS, plus play with Python, SQL, and leading cloud platforms.
• Explore & Explain: Dive deep into data, uncover patterns, run A / B tests, and translate analytics into strategies everyone understands.
• Visualize with SAS: Use SAS Visual Analytics (as well as Tableau and Power BI) to craft dashboards and bring data stories to life for technical and non‑technical audiences.
• Engineer Excellence: Own the data pipeline - from wrangling raw datasets to prepping flawless analysis‑ready data.
• Collaborate & Innovate: Team up with business analysts, product managers, and engineers to transform problems into creative, measurable solutions.

What you bring

• Honours Degree or higher in Data Science, Stats, Computer Science, Engineering, or similar.
• Advanced SAS programming chops – and you love squeezing every insight possible out of big data.
• Skilled in Python, SQL, and familiar with cloud data services (AWS, Azure, or GCP).
• Strong stats, modelling, and experiment design knowledge.
• Sharp communication – you can tell complex stories simply, bringing colleagues along for the data journey.
• Critical thinking and a get‑it‑done attitude.

Bonus points if you have

• A Master’s / PhD in quantitative fields.
• Experience designing standout dashboards in SAS Visual Analytics, Tableau, or Power BI.
• Exposure to Spark, Hadoop, or similar Big Data frameworks.

If SAS is your passion and you want to join a fast‑moving team that loves data as much as you do – let’s connect.